activity
20122020
most citedLearning Module Networks

135 citations · 160 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.CB2020

SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways

Waradon Sungnak, Ni Huang, Christophe Bécavin +2

The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression…

stat.ML20197 cited

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks

Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran +1

We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulator…

q-bio.TO2018

The Human Cell Atlas White Paper

Aviv Regev, Sarah Teichmann, Orit Rozenblatt-Rosen +78

The Human Cell Atlas (HCA) will be made up of comprehensive reference maps of all human cells - the fundamental units of life - as a basis for understanding fundamental human biolo…

cs.LG201318 cited

Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm

Nir Friedman, Iftach Nachman, Dana Pe'er

Learning Bayesian networks is often cast as an optimization problem, where the computational task is to find a structure that maximizes a statistically motivated score. By and larg…

cs.LG2012135 cited

Learning Module Networks

Eran Segal, Dana Pe'er, Aviv Regev +2

Methods for learning Bayesian network structure can discover dependency structure between observed variables, and have been shown to be useful in many applications. However, in dom…